… wind turbine power hecause of the continuous fluctuation of wind speed and predictiodforecast
by using recurrent multilayer perceptron direction. It is important for the power industry to …

… to predict a maximum power in different environmental conditions. Multilayer Perceptron
reasons out to be an efficient algorithm that delivers feasible and highly accurate predictions. …

… proposed method based on Multi-Layer Perceptron (MLP) … uses too many points of power
trace and a general description of … the first fair comparison of power analysis attacks based on …

… As a result of this study, it can be said that adaptive neuro-fuzzy inference systems,
neural networks and multilayer perceptrons increase the prediction accuracies in very short-term, …

… In this work, we have also carried out the process of prediction of power consumption
which is based on the classification method. The proposed method divides the residential …

… To determine the capabilities of a multilayer perceptron (MLP) for calculating the power
of an … As our results indicate, an MLP could predict the power required to achieve a given …

… parameters in power plants [113,114,115]. Akdemir [116], for example, suggested the use
of ANNs for predicting the hourly power of combined gas and steam turbine power plants. …

… indisputable that they must be predicted and analyzed for residential structures. Accordingly,
the multi-layer perceptron neural network is applied for predicting the heating and cooling …

… the prediction time horizons, solar power prediction studies … Multilayer perceptron forecasting
model has been developed … of power generated by a 20-kW p grid-connected solar power …

… power, it is vital to utilize models that predict wind speed with high accuracy. In the current
study, for predicting … of Iran, the combination of a multi-layer perceptron model (MLP) with the …